A Step Toward Identifying Sources of Medical Errors: Modeling Standards of Care Deviations for Different Disease States.
Objective: To examine the feasibility of utilizing electronic health records (EHR) to determine a metric for identifying physician diagnostic and treatment deviations in standards of care for different disease states.Methods: A Boolean-rule-based model compared deviations in standards of care across...
| Publicado en: | Military Medicine Vol. 183; pp. 105 - 111 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
2018 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128875570&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128875570 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00264075 4DV jtl: Military Medicine issn: 00264075 maglogo: N pubinfo: dt: 2018 Supplement vid: 183 pid: 622 pub: Oxford University Press / USA artinfo: ui: 128875570 128875570 NLM29635597 128875570 10.1093/milmed/usx203 NLM29635597 128875570 ppf: 105 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Step Toward Identifying Sources of Medical Errors: Modeling Standards of Care Deviations for Different Disease States. aug: au: Fidopiastis, Cali M Venta, Kim E Baker, Erin G Stanney, Kay M affil: Design Interactive, Inc., 3504 Lake Lynda Dr., Suite 400, Orlando, FL 32817 sug: subj: Quality of Health Care Trends Guideline Adherence Standards Treatment Errors Physicians Statistics and Numerical Data Human Physicians Standards Middle Age Adult Retrospective Design Female Computer Simulation Standards Computer Simulation Statistics and Numerical Data Male Validation Studies Comparative Studies Evaluation Research Multicenter Studies Middle Aged: 45-64 years Adult: 19-44 years Female Male ab: Objective: To examine the feasibility of utilizing electronic health records (EHR) to determine a metric for identifying physician diagnostic and treatment deviations in standards of care for different disease states.Methods: A Boolean-rule-based model compared deviations in standards of care across four disease states: diabetes, cardiovascular disease, asthma, and rheumatoid arthritis. This metric was used to identify the relationship between physician deviations in standards of care procedures, before and after diagnosis, for 76 internal medicine physicians.Results: The Boolean-rule-based model identified patterns of standards of care deviation for the physicians before diagnosis and during treatment. The deviations identified for each of the four disease states were then related to Continuing Medical Education courses that could support further training. The rule-based model was extended and improved by including system and process aspects of medical care that are not specifically related to the physician, yet potentially have an impact on the physician's decision to deviate from the standards of care.Conclusion: The Boolean-rule-based approach provided a means to systematically mine EHRs and use these data to assess deviations in standards of care that could identify quality of care issues stemming from system processes or the need for specific CME for a physician. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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